Issue No.12 - Dec. (2011 vol.17)
Zhongzang Lin , Oregon State University
Guoning Chen , SCI, University of Utah
Harry Yeh , Oregon State University
Paul Vincent , Oregon State University
Robert Laramee , Swansea University
Darrel Palke , Oregon State University
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.170
Asymmetric tensor field visualization can provide important insight into fluid flows and solid deformations. Existing techniques for asymmetric tensor fields focus on the analysis, and simply use evenly-spaced hyperstreamlines on surfaces following eigenvectors and dual-eigenvectors in the tensor field. In this paper, we describe a hybrid visualization technique in which hyperstreamlines and elliptical glyphs are used in real and complex domains, respectively. This enables a more faithful representation of flow behaviors inside complex domains. In addition, we encode tensor magnitude, an important quantity in tensor field analysis, using the density of hyperstreamlines and sizes of glyphs. This allows colors to be used to encode other important tensor quantities. To facilitate quick visual exploration of the data from different viewpoints and at different resolutions, we employ an efficient image-space approach in which hyperstreamlines and glyphs are generated quickly in the image plane. The combination of these techniques leads to an efficient tensor field visualization system for domain scientists. We demonstrate the effectiveness of our visualization technique through applications to complex simulated engine fluid flow and earthquake deformation data. Feedback from domain expert scientists, who are also co-authors, is provided.
Tensor field visualization, asymmetric tensor fields, vector field visualization, fluid dynamics, solid deformation, earthquakeengineering, glyph packing, hyperstreamline placement, view-dependent visualization.
Zhongzang Lin, Guoning Chen, Harry Yeh, Paul Vincent, Robert Laramee, Darrel Palke, "Asymmetric Tensor Field Visualization for Surfaces", IEEE Transactions on Visualization & Computer Graphics, vol.17, no. 12, pp. 1979-1988, Dec. 2011, doi:10.1109/TVCG.2011.170